Staff Engineer (Applied AI / ML)

Qvest US; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401k matching

Flexible vacation

Job summary

Qvest US is seeking a Staff Engineer to lead the Applied AI / ML practice, mentor engineers, and shape technical strategy across projects for client and internal work.

You will influence architectures, tooling, and engineering culture while delivering high-quality, scalable systems and reference implementations.

Qualifications

• 8-12+ years in software development with team experience.
• Expertise in ML / Applied AI tools and patterns including LLM, MLOps, RAG.
• Experience with enterprise deployments and communicating with client leadership.

Responsibilities

• Mentor and lead engineers in the Applied AI / ML practice, shaping engineering culture.
• Define, propose and present engineering practices, architectures, and tech stacks.
• Lead teams to translate business requirements into deployable systems and reference implementations.

Skills

ML Applied AI

LLMs

MLOps

RAG

CI/CD

Vector DB

Graph DB

SOA Microservices

OOP FP design

Enterprise integration

AuthN/AuthZ

Data management

Education

Bachelor’s degree in engineering, information systems, computer science, business administration, or related fields

Tools

OpenAI"/"ChatGPT

Claude

Amazon Bedrock

LLaMA

Job description

Who We Are

Qvest USis the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.

About the IDC

The IDC is our I nnovation and D evelopment C enter. We build custom software using modern technologies to solve complex business problems for our clients. We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding.

Who we’re seeking

As a Staff Engineer, you are an innovative and thoughtful self-starter who enjoys solving problems and thrives in fast-paced, collaborative environments. You are looking for a role where you can shape best practices, mentor team members, work on varied projects, and influence technologies and solutions for both Qvest internal and client external projects. You thrive in environments where you’re able to demonstrate technical competency while working individually, closely with team members, or directly with our clients.

Specifically working in our Applied AI / ML practice, you are a self driven engineering leader who loves to identify and experiment with new approaches, technologies, or tools which will impact our projects or industry. Examples could include emergent architectural approaches, new cloud provider offerings, or productivity enhancers (new tooling, Chat-GPT, Copilots, or similar).

What you’ll do

• As a mentor and an engineering leader in the Applied AI / ML practice, you will help grow the careers of other team members, have the opportunity to participate in the hiring process, participate in the annual review cycle, and shape and contribute to the engineering culture as a place to learn and grow.
• As a technology Leader, you’ll work directly with Qvest leadership to impact projects, teams and the Qvest organization by creating, shaping, proposing and presenting engineering practices, architectures, and tech stacks. You will influence business development through your expertise by creating content and contributing to proposals. You will extract reusable components, patterns, concepts and lessons learned to be leveraged across the organization.
• As a project leader, you’ll help propose technologies to be used on specific projects, and define the shape of the team to build them. As a part of that team, you’ll help the team gather, translate and refine business requirements into deployable systems, extracting and leveraging repeatable design strategies, and creating reference implementations. You will lead by example through the code you contribute, the continuous improvement you foster, and the quality of documentation, architecture, code, and tests you and your teams will deliver.

What you’ll bring

• 8-12+ years in software development, including working in teams
• Experience with agile methodologies such as Scrum, Kanban or XP
• Expertise in ML / Applied AI tools and patterns including LLM, MLOps, RAG
• Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc..) and understanding applicability to purpose / use case balancing cost vs. functionality
• Experience developing copilots
• Experience developing RAG applications
• Experience with and around discussing enterprise deployments, knowing the landscape of enterprises, (their API’s, systems etc..) and the ability to communicate with client leadership in this area
• Experience with Vector Database and Embeddings
• Experience with Graph Databases
• Definition, utilization and implementation of CI/CD pipelines
• Familiarity with SOA, Microservices, or similar architectural patterns
• Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc)
• Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc.
• Experience with typical AuthN/AuthZ methods and products
• Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state
• Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time
• Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fields

Travel Requirements

Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.

Remote & Hybrid Work

While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.

Life at Qvest

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest USis currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel.”

Equal Employment Opportunity

Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.